We are looking for an associate senior lecturer in statistics, specializing in Bayesian methods in machine learning and AI. This is a four year position with generous research time (70%) which, if the criteria are met, can be converted to a permanent senior lecturer position.
Örebro University School of Business is a place where education and research meet in the four subjects Business Administration, Economics, Informatics, and Statistics. We are accredited by AACSB, the largest accreditation body and network for business schools globally – an achievement accomplished only by five per cent of the world’s 16,000 business schools.
Örebro University School of Business is host to the department of statistics at Örebro University and offers courses and study programmes in statistics at the bachelor’s, master’s and doctoral levels. In addition to the Bachelor’s Programme in Statistics, courses are offered on the Programme for Business and Economics, on several social science programmes, as well as on programmes within healthcare, natural sciences, and engineering. At the master’s level, a two-year study programme in statistics, which has been awarded ‘European Master in Official Statistics’ (EMOS) by Eurostat, is also offered. The master’s programme offers specialisations in econometrics and data science. The department also offers courses on the Master’s Programme in Economics and Econometrics, and the Master’s Programme in Finance.
Within the department, research is mainly conducted with a focus on Bayesian statistics with applications in econometrics and time series analysis, as well as survey methodology and statistics production. Research is undertaken with close links to applied fields, including collaborations with Statistics Sweden and the department of economics at the university.
We are now seeking an associate senior lecturer to complement our research within Bayesian statistics with competence and skills within machine learning and/or AI.
Full job posting and on-line application at https://www.oru.se/english/career/jobs-and-vacancies/job/?jid=20220366
The application dead line is January 9, 2023